Modelling influenza and SARS-CoV-2 interaction: Analysis for Catalonia region

IF 0.8 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Pau Fonseca i Casas, Victor Garcia i Carrasco, Joan Garcia i Subirana
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引用次数: 0

Abstract

The aim is to analyse that, during the current pandemic situation, the reduction in the number of cases of influenza suggests that the non-pharmaceutical interventions (NPIs) applied to contain the expansion of SARS-CoV-2 also affect the influenza expansion. We analyse the interaction of influenza and SARS-CoV-2 spread based on an extended SEIRD model for the Catalonia region in Spain. We show that the dynamic evolution of the spread of SARS-CoV-2 and influenza generates a small interference. This interference causes a small reduction in the number of cases of seasonal influenza, reducing its expansion over the population. Other elements like the face mask mandates, social distancing and hand cleaning boost the reduction in both expansions. Influenza expansion will present a small reduction in the number of cases due to the interaction with SARS-CoV-2 expansion but mainly because the NPIs applied to the population.
模拟流感和SARS-CoV-2相互作用:加泰罗尼亚地区分析
目的是分析,在当前大流行形势下,流感病例数的减少表明,用于遏制SARS-CoV-2扩散的非药物干预措施(npi)也会影响流感的扩散。我们基于西班牙加泰罗尼亚地区的扩展SEIRD模型分析了流感和SARS-CoV-2传播的相互作用。我们的研究表明,SARS-CoV-2和流感传播的动态演变产生了小的干扰。这种干预使季节性流感病例数量略有减少,减少了其在人口中的蔓延。其他因素,如口罩规定、保持社交距离和洗手,促进了这两种扩张的减少。由于与SARS-CoV-2扩大的相互作用,流感扩大将导致病例数小幅减少,但主要是因为npi适用于人群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Algorithms & Computational Technology
Journal of Algorithms & Computational Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.70
自引率
0.00%
发文量
8
审稿时长
15 weeks
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